Install
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npx agentmarket install skill/bibutikoley-setup
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About
Use cases: testing, devops, productivity, agent-building
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/setup
What's inside
- Skill name
setup- Description
- Install the AI-native SDLC loop into a product repository. Asks about CI platform (GitHub/GitLab/both), tracker, chat, monitoring, build/test/lint commands and protected paths, then scaffolds sdlc/, sdlc.config.json, REVIEW.md, CI workflows, evals, monitoring, MCP connectors and the CLAUDE.md section, idempotently. Use on /sdlc:setup or when asked to set up / adopt / install the SDLC workflow in a repo.
- License
- MIT
- Instructions
- 56 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# /sdlc:setup — one command for the platform engineer
Read `sdlc-loop`. This is a one-time task per repo. It must be safe to re-run: nothing existing is overwritten
without `--force`; conflicts are written beside the original as `<file>.sdlc-new`.
## 1. Discover (read-only)
- Confirm we are at a Git repo root. Detect: remote host (github.com / gitlab), default branch, existing
`CLAUDE.md`, `Makefile`/`package.json`/`pyproject.toml`/`go.mod`/`pom.xml` to propose build/test/lint
commands, existing `.github/workflows` or `.gitlab-ci.yml`, generated directories, migrations, infra.
- Existing `sdlc.config.json` means an upgrade: keep its values, only add missing keys.
## 2. Ask (only what discovery could not answer; batch the questions)
Platform · tracker (+ base URL, project key) · chat · monitoring · source of truth (`repo` recommended to
start, `linked` if a tracker already holds the record) · build/test/lint/format/run commands · protected paths
(propose from discovery) · which MCP connectors to wire (default: the platform's + tracker's + chat's +
monitoring's).
Ask about roles last, and separately: "Who holds each role, by git commit email? (product owner, engineer,
QA, tech lead, platform engineer, security/compliance, release manager, service owner, leadership — a person
can hold more than one, and any role you leave empty stays unenforced.)" Someone answering "not yet" is a
valid answer — it is fine to scaffold with `roles` empty and fill it in later.
## 3. Scaffold
Run `${CLAUDE_PLUGIN_ROOT}/scripts/scaffold.sh` with the answers as flags (see `--help`). It:
- writes `sdlc.config.json` (merged), `sdlc/` (README, lessons, templates, worked example), `REVIEW.md`,
`evals/`, `monitoring/`, `.claude/settings.json` (permissions allow-list for the configured commands),
`CODEOWNERS.example`, `managed-settings.example.json`;
- copies the CI files for the chosen platform(s) (`.github/workflows/sdlc-*.yml`, `.gitlab/sdlc/.gitlab-ci.sdlc.yml`);
- merges the chosen connectors into `.mcp.json`;
- appends the SDLC section to `CLAUDE.md` (creates a minimal one if absent) with the commands filled in;
- copies the policy skill templates into `.claude/skills/` **only if** the org has no policy skills yet.
Use `--dry-run` first and show the plan of files to the user.
`scaffold.sh` does not take role emails as flags. After it runs, edit `sdlc.config.json`'s `roles` object
directly with the answers from step 2 (each role is an array of emails; `roleCommands` ships with sane
defaults and rarely needs changing). **The moment any `roles.*` array is non-empty, the `role-gate` hook
starts enforcing it** for every command not in `roleCommands["*"]` — say this to the user before you write
the emails in, so it is not a surprise the next time someone runs an out-of-role command.
## 4. Finish with the human checklist (print it; do not do these yourself)
1. Set CI secrets: `ANTHROPIC_API_KEY` (or Bedrock/Vertex/Foundry variables), tracker/chat tokens named in `.mcp.json`.
2. Branch protection on the default branch: require PR, require code owner review, no direct pushes (agents included).
3. Create the `production` environment with required reviewers = release managers (GitHub) / protected environment (GitLab).
4. Fill in `.claude/skills/*/SKILL.md` policy templates with real policy text; each has an owner and a source link.
5. Add `CODEOWNERS` from the example. Add `sdlc.config.json` and `.claude/**` to code-owner review.
6. Regulated org: deploy `managed-settings.example.json` via MDM/admin console after tailoring the deny list.
7. Run `/sdlc:status`, then walk one small change through `/sdlc:intent` → `/sdlc:spec` → `/sdlc:plan` → `/sdlc:build`
**before** filling in `roles` — once populated, the `role-gate` hook restricts each command to its role.
8. Fill in `sdlc.config.json`'s `roles` with the emails from step 2 when the team is ready to enforce it.
9. Read `docs/adoption-roadmap.md` for the recommended order of the remaining plays.From bibutikoley/ai-sdlc-claude, MIT.
More from bibutikoley/ai-sdlc-claude
- 0.564score
review
bibutikoley
Stage 5 (Deploy) AI review of the AI-native SDLC.
SkillBFreshness: B★ 3Claude Code +9 - 0.564score
spec
bibutikoley
Stage 2 (Design) of the AI-native SDLC.
SkillBFreshness: B★ 3Claude Code +9 - 0.564score
eval-add
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Stage 4 (Test) continuous evals.
SkillBFreshness: B★ 3Claude Code +9 - 0.564score
incident
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Stage 6 (Maintain) of the AI-native SDLC.
SkillBFreshness: B★ 3Claude Code +9 - 0.564score
intent
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Stage 1 (Plan) of the AI-native SDLC.
SkillBFreshness: B★ 3Claude Code +9 - 0.564score
metrics
bibutikoley
Compute and explain the AI-native SDLC's leading and lagging indicators from Git history, PR metadata and CI (intent time-to-commit, intent→spec, spec→plan…
SkillBFreshness: B★ 3Claude Code +9 - 0.564score
plan
bibutikoley
Stage 3 (Build) entry of the AI-native SDLC.
SkillBFreshness: B★ 3Claude Code +9 - 0.564score
brand-guidelines
bibutikoley
The organisation's brand and content standards applied to specs and UI work.
SkillBFreshness: B★ 3Claude Code +9 - 0.564score
compliance-policy
bibutikoley
Regulatory and change-management obligations as constraints on specs, plans, releases and reviews.
SkillBFreshness: B★ 3Claude Code +9 - 0.564score
tracker-sync
bibutikoley
Keep the legacy tracker (Jira, YouTrack, GitLab issues, GitHub issues) and the Markdown artifacts linked according to sdlc.config.json sourceOfTruth (repo |…
SkillBFreshness: B★ 3Claude Code +9 - 0.564score
security-policy
bibutikoley
The organisation's security policy as constraints on specs, plans, code and reviews.
SkillBFreshness: B★ 3Claude Code +9 - 0.564score
ux-standards
bibutikoley
Interaction, accessibility and content-structure standards for anything users touch.
SkillBFreshness: B★ 3Claude Code +9
Signals
- Stars
- 3
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 5, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/bibutikoley/ai-sdlc-claude
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from bibutikoley
- 0.564score
plan
bibutikoley
Stage 3 (Build) entry of the AI-native SDLC.
SkillBFreshness: B★ 3Claude Code +9 - 0.564score
eval-add
bibutikoley
Stage 4 (Test) continuous evals.
SkillBFreshness: B★ 3Claude Code +9 - 0.564score
incident
bibutikoley
Stage 6 (Maintain) of the AI-native SDLC.
SkillBFreshness: B★ 3Claude Code +9 - 0.564score
intent
bibutikoley
Stage 1 (Plan) of the AI-native SDLC.
SkillBFreshness: B★ 3Claude Code +9 - 0.564score
metrics
bibutikoley
Compute and explain the AI-native SDLC's leading and lagging indicators from Git history, PR metadata and CI (intent time-to-commit, intent→spec, spec→plan…
SkillBFreshness: B★ 3Claude Code +9 - 0.564score
brand-guidelines
bibutikoley
The organisation's brand and content standards applied to specs and UI work.
SkillBFreshness: B★ 3Claude Code +9
Cite this page
setup skill. Agent Mart. https://agentmart.dev/skills/bibutikoley-setup (last updated 2026-10-24)